1. Create a histogram showing the distribution of candidates by age (IDADE_DATA_ELEICAO)

  1. Produce a scatterplot of points that shows the relationship between the IDADE_DATA_ELEICAO (x-axis) and QTDE_VOTOS (y-axis) of all candidates

  1. Repeat the chart from Question 4, but colour the points to reflect the gender of each candidate (DESCRICAO_SEXO)

  1. Use a scale to change the colour that indicates gender in your chart from question 5
  1. Instead of colouring points by gender, use a scale to colour data-points to reflect the candidates education level (COD_GRAU_INSTRUCAO). Treat this as a continuous variable where yellow is the least educated and red the most educated
  1. Add two regression lines on top of your chart - one linear (lm) in red and one flexible local linear (loess) in dark green

  1. Draw a scatterplot of all the female candidates under the age of 30 in the first round, with their age on the x-axis and their number of votes on the y-axis. Instead of a point, your chart should write the NOME_URNA_CANDIDATO at the correct position on the chart

  1. Draw a column chart of the total votes received by each of the top 5 parties across the state

  1. Make your chart from Question 10 more professional by giving it meaningful axis titles, a chart title, and removing the background color and lines.